CodeBunny isn't just a linter. It uses a multi-agent architecture to understand your repository's context, catch architectural risks, and speed up reviews by 10x.
I've analyzed the changes in src/auth/jwt_handler.py against the repository context.
Refactoring token validation to support the new SSO provider. This aligns with the migration plan outlined in RFC-002.
High Risk: Modifies core authentication logic. This change bypasses the legacy cache layer. Verify load testing on the auth service before merge.
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Most tools summarize blindly. CodeBunny uses a sophisticated Map-Reduce architecture to handle massive PRs without losing context.
The system receives the webhook. It fetches the raw Diff and the full Repository File Tree to build a context graph.
The Diff is split. Mistral Small agents run in parallel, analyzing individual files for technical accuracy.
Gemini 1.5 Pro (The Strategist) ingests all file summaries + the file tree to synthesize the "Three-Pillar Analysis."
A structured comment is posted. It highlights risks, architectural impact, and missed patterns.
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Context is king. We analyze your file structure to know if a change in utils.py breaks core/billing.
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View Source| Feature | CodeBunny | Standard LLM Bots |
|---|---|---|
| Context Window | Infinite (Map-Reduce) | Limited (Truncates files) |
| Repo Structure Awareness | Yes (File Tree analysis) | No (Diff only) |
| Reasoning Engine | Multi-Model (Mistral + Gemini) | Single generic model |
| Cost | Free / Open Source | $$$ per seat |
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